McKinsey & Company
Atlanta, GA

Data Engineer - GCI Analytics at McKinsey & Company (Atlanta, GA)

| Atlanta, GA
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You will join our growing team as a Data Engineer to build, maintain, and automate data pipelines on the cloud.
What You'll Do
You will join our growing team as a Data Engineer to build, maintain, and automate data pipelines on the cloud.
In this role you will:
  • Partner with our clients, industry experts and software engineers to understand data needs
  • Investigate data discrepancies and discuss findings with product and leadership teams
  • Deploy inclusive data quality checks

Who You'll Work With
You'll be based in our office in Atlanta as part of GCI Analytics team.
  • GCI is the analytical backbone of McKinsey's Commercial Banking and Payments practice that provides deep analytics, research, and benchmarking to financial institutions
  • By applying machine learning and sophisticated algorithms to the largest and premier commercial banking dataset in the market, our analytics engines help financial institutions uncover revenue opportunities, assist with product strategy, and compare bank performance against peers and more
  • Click HERE to learn more about how GCI's solutions and experts are helping businesses continually drive better performance.

  • Work with the largest and premier banking dataset - terabytes of transaction-level data from hundreds of financial institutions to discover nuanced and highly accurate insights for your clients
  • Get unique experience of agile analytics lab - being very close to multi-dimensional data and at the same time having E2E exposure to the entire platform
  • Explore entrepreneurial opportunitiesandinnovative solutions for constantly evolving asset
  • Develop strong relationships with client executive sponsors and McKinsey partners in commercial banking and payments, leveraging GCI's extensive network
  • Evolve into a technical leader who builds cutting-edge solutions with a supportive career progression plan and freedom to innovate

  • Bachelor's or Master's degree in management information systems, computer science, business analytics or another related field\n
  • Strong understanding of data engineering concepts and ability to build ETL pipelines\n
  • 1+ years of SQL experience\n
  • Understanding of a program language like Python or UNIX\n
  • Understanding of cloud technologies like AWS\n
  • Understanding of data visualization and building dashboards\n
  • Motivated self-starter with entrepreneurial spirit\n
  • Strong written and verbal communication skills\n
  • Experience with more than one coding language / data visualization / cloud technologies is a plus
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An Insider's view of McKinsey & Company

What’s the vibe like in the office?

The best part about coming to work is collaborating with people who are excited to be here. They push me to think about the mission and vision of my day-to-day work. We’re driven by big-picture motivations and everything we do has value. My work has meaning and purpose.


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What projects are you most excited about?

I’m working with the disaster recovery and business continuity group on a new project called Disaster Recovery as a Service. We’re building a failover process for many of our mission-critical applications. That way, during a disaster or emergency, we can limit downtime, bring systems back online, and keep business moving.


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How does the company support your career growth?

McKinsey is the first place I’ve encountered that truly enables employees to work cross functionally . We have a 20% rule, meaning I spend about 80% of my time contributing to my main team, and the other 20% contributing to other development projects. I’m learning new industries and skills, while maintaining a manageable workload.


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How do you empower your team to be more creative?

Creativity happens when you have an environment that is inclusive and diverse, promotes psychological safety, rewards bold thinking, supports with the best tools and has a clear north star and strategic vision everyone can relate to. As a leader, I try my best to set such a tone and create these conditions.


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How would you describe the company’s work-life balance?

Maintaining a work-life balance is critical for our well-being. For me, that starts with leaders and a work environment that support flexibility. I was drawn to McKinsey’s culture of encouragement, support, and empowerment in caring for people. I have a very supportive and empathetic leader who inspires me to bring out my best at work.


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